Big Data Engineer

About this role

Software Engineering Focus / Data Modeling / AI & Agentic Systems

Clear Fracture is building AI-driven data integration systems that enable organizations to connect, transform, and reason over complex data using agentic workflows. Our platform operates across cloud and on-prem environments and is designed to support multi-tenant, production-scale use cases.

We are looking for a Data Engineer who operates as a software engineer first, with strong experience in data modeling and data systems. You will play a key role in building the core data layer that powers our agentic platform—designing schemas, implementing data services, and enabling reliable, scalable data flows.

In addition to building core data infrastructure, you will also develop real use cases on the platform itself, helping shape how users interact with data. This includes designing data interfaces, abstractions, and tooling that make it easier to understand, model, and work with data across the system.

This is not a traditional ETL-only role. You will write production code, design systems, and help define how data is represented, accessed, and understood across the platform.

# Key Responsibilities

## Data Modeling & System Design

• Design and implement logical and physical data models for complex, evolving datasets.
• Define schemas and access patterns that support multi-tenant usage and application-level workflows.
• Balance normalization, performance, and flexibility across different storage systems.
• Partner with product and engineering teams to translate requirements into scalable data designs.

## Platform Use Cases & Data Interfaces

- Develop real-world data use cases on top of the platform to validate and extend its capabilities.
- Design and build data interfaces and abstractions that help users understand and work with data.
- Contribute to systems such as:
- Data glossaries
- Semantic layers
- Metadata and schema discovery tools
- Help define how users explore, mo...